Last chance! 50% off unlimited learning
Sale ends in
Represents normally distributed endpoints in clinical trials.
normEndp(mu, sigma)A S4 object that represents a normally distributed endpoint in a clinical trial
vector of the expected responses of the treatment groups, should have
length K
(i.e. one entry for each treatment group).
vector of the standard deviations in each treatment group,
should have length K (i.e. one entry for each treatment group).
The normEnd function is a constructor function
for an S4 object of the class normEnd representing
a normally distributed endpoint in a clinical trial.
In conjunction with the assess function, normal endpoints
admit the calculation of the exact type-I-error probability and power.
Compute exact or simulated type-I-error: assess.
Other endpoint types:
expEndp,
survEndp
# set the parameters of two normally distributed endpoints
endp <- normEndp(mu = c(1, 2), sigma = c(1, 1))
Run the code above in your browser using DataLab